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Proceedings Paper

Using density and spatial cues for clustering image pixels in real time
Author(s): Vladimir Kravtchenko; James J. Little
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Paper Abstract

The goal of our work is efficient clustering of object pixels from a sequence of live images for use in real-time applications including object recognition and tracking. We propose a novel approach to clustering object pixels into separate objects using density and spatial cues. The suggested method runs in linear time, accounts for image noise and yields real-time performance.

Paper Details

Date Published: 19 April 2000
PDF: 10 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.383011
Show Author Affiliations
Vladimir Kravtchenko, Univ. of British Columbia (Canada)
James J. Little, Univ. of British Columbia (Canada)

Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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